@factfinder we needed 100's of images of each fish species for it to reliably recognize a fish species, more images gave the system greater confidence when identifying the fish species. Each time we needed to improve the system (by adding more images to a library for a fish species), or teach it a new species (with a new library of images for the target species) we needed to retrain the system in our office then deploy to the platform; which can become tedious. We were using Matlab
There was lots of work involved:
- obtaining the images of each fish species
- cleaning the image library and ensuring they were labelled correctly
- multiple iterations (10's not 100's) as we developed the model & trained the model to a suitable level of confidence
@factfinder we needed 100's of images of each fish species for...
Add BRN (ASX) to my watchlist
 (20min delay)
|
|||||
|
Last
29.0¢ |
Change
0.035(13.7%) |
Mkt cap ! $572.0M | |||
| Open | High | Low | Value | Volume |
| 26.0¢ | 29.0¢ | 26.0¢ | $10.11M | 36.62M |
Buyers (Bids)
| No. | Vol. | Price($) |
|---|---|---|
| 3 | 22403 | 28.5¢ |
Sellers (Offers)
| Price($) | Vol. | No. |
|---|---|---|
| 29.0¢ | 628072 | 21 |
View Market Depth
| Last trade - 16.10pm 08/11/2024 (20 minute delay) ? |
| BRN (ASX) Chart |